Venue 11 - lots of monitors

Venue 11 was able to deploy a bunch of Lascars at once.

# Using plotly.express

# import ipywidgets as widgets
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go   
#from IPython.display import display

# leave out sc_boiler, appears to be 7:30-23:00
rooms = ["sc_art_room","sc_garden","sc_library","sc_lounge","sc_office","sc_studio","sc_wellspring"]
list_of_df = []
list_of_traces = []
for x in rooms:
    df1 = pd.read_csv("./venue-11/october/" + x + ".csv",encoding='latin-1',usecols=[0,1,2], header=0, names= ['entry_id', 'time', 'temperature'])
    df2 = pd.read_csv("./venue-11/december/" + x + ".csv",encoding='latin-1',usecols=[0,1,2], header=0, names= ['entry_id', 'time', 'temperature'])
    df = pd.concat([df1, df2])
    df["timestamp"] = pd.to_datetime(df['time'])
    #range_min = df['timestamp'].min()
    #range_max = df['timestamp'].max()
    #list_of_df.append(df) # in place??
    #print(range_min, " to ", range_max) # this just uses the range of the last file, not ideal
    
    #print(df.sample(6))
    
    
    trace = go.Scatter(customdata=df, 
                        y=df['temperature'], 
                        x = df['timestamp'], 
                        mode='lines', 
                        hoverinfo='all', 
                        name=x,
                        )
    list_of_traces.append(trace)
    


g = go.FigureWidget(data=list_of_traces,
                    layout = go.Layout(
                        yaxis=dict(range=[10,25])
                    ))

# example syntax for two plots on same x-axis - I'd like to show the boiler temperature in
# parallel - but havne't had time to sort the syntax.
#fig = make_subplots(rows=2, cols=1, shared_xaxes=True)

# for i, col in enumerate(cols, start=1):
#     fig.add_trace(go.Scatter(x=df[col].index, y=df[col].values), row=i, col=1)

fig = go.Figure(g)
fig.update_layout(showlegend=True, 
              autosize = True, 
              width=1000, 
              height=500,
)




fig.update_layout(
    hovermode='x unified',
   # range=[range_min, range_max],
    hoverlabel=dict(
        bgcolor="white",
        # font_size=16,
        font_family="Rockwell"
    )
)

#Add range slider
fig.update_layout(
    xaxis=dict(
        rangeselector=dict(
            buttons=list([
                dict(
                     label="All",
                     step="all"
                     ),
                                dict(count=1,
                     label="Hour",
                     step="hour",
                     stepmode="todate"),
                dict(count=1,
                     label="Day",
                     step="day",
                     stepmode="backward"),
                dict(count=7,
                     label="Week",
                     step="day",
                     stepmode="backward"),
                dict(count=1,
                     label="Year",
                     step="year",
                     stepmode="backward")
            ])
        ),
        rangeslider=dict(
            visible=True,
        ),
        type="date"
    )
)


#fig.add_hline(y=16, annotation_text='16C - usual minimum for children', annotation_font_color="blue", line_color='red', layer='above', line_dash='dash')
# fig.update_yaxes(range = [-5, dfCollatedDataSet['temperature'].max()+5])
fig.show()